Connecting AI Learning and Blockchain Mining in 6G Systems
Not on the map. Why?
Abstract (arXiv)
The sixth generation (6G) systems are generally recognized to be established on ubiquitous Artificial Intelligence (AI) and distributed ledger such as blockchain. However, the AI training demands tremendous computing resource, which is limited in most 6G devices. Meanwhile, miners in Proof-of-Work (PoW) based blockchains devote massive computing power to block mining, and are widely criticized for the waste of computation. To address this dilemma, we propose an Evolved-Proof-of-Work (E-PoW) consensus that can integrate the matrix computations, which are widely existed in AI training, into the process of brute-force searches in the block mining. Consequently, E-PoW can connect AI learning and block mining via the multiply used common computing resource. Experimental results show that E-PoW can salvage by up to 80 percent computing power from pure block mining for parallel AI training in 6G systems.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 15 references that are in the map. First posted on arXiv 29 Apr 2021.
Builds on
5 of 15 references.
References · 5
- 2017In-Datacenter Performance Analysis of a Tensor Processing Unitcited by 610
- 2019The Roadmap to 6G -- AI Empowered Wireless Networkscited by 150
- 2018A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networkscited by 11
- 2019Energy-recycling Blockchain with Proof-of-Deep-Learningcited by 7
- 2017Proof of Luck: an Efficient Blockchain Consensus Protocolcited by 1
Built on by
Not cited yet.